The GLAMR repository aggregates and harmonizes hundreds of individual published lake metabolism datasets, each of which meets the guidelines below.
If you would like to include your data in GLAMR, whether or not they have previously been published, please reach out to us. We can easily incorporate previously published datasets and can provide advice and help with publishing previously unpublished datasets so that they can be incorporated into GLAMR.
Guidelines for data sets included in GLAMR
Data sets to be included in GLAMR should include:
- High-frequency measurements of dissolved oxygen concentration and water temperature from one or more lakes, ponds, wetlands, or reservoirs. “High-frequency” means at least every 30 minutes. If the water body stratifies, water temperature measurements should be taken at multiple depths to allow calculation of stratification depth.
They should be shared in a machine-readable format, meaning the following:
- The data should be in a .csv file or any other delimited text file format (not Excel, and no merged cells or colors).
- The metadata and contextual information should be in a separate file, not in a header at the top of the sheet. The first row of the sheet should be the column names.
- There should be no additional calculations off to the side within the sheet.
- Each column should contain only one type of data (numeric, text, TRUE/FALSE, etc.). Flags should be in a separate column; missing values should be left blank.
Ideally, data sets will also include:
- High-frequency measurements of photosynthetically active radiation (PAR; above and/or below the water surface) and wind speed.
- Metadata, including make and model of sensors, sensor calibration protocols, QA/QC protocols, and other methodological information.
When available, we would also like:
- Lake characteristics, such as latitude and longitude, surface area, depth, volume, watershed area, and hydrologic residence time.
- Low-frequency ancillary data from manual measurement, including nutrient concentrations, DOC concentration, chlorophyll concentration, water color (absorbance), light extinction coefficient, Secchi depth, and zooplankton abundance or biomass.
- High-frequency ancillary data from automated sensors, including chlorophyll, phycocyanin, nutrients, fDOM, barometric pressure, and relative humidity.